PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-31 10:20:56.005251+00:00 (UTC)
In US/Central Time, this is 2024-05-31 05:20:56.005251-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e1e44f92e3d4a4b0cd7e699660f4cef5f6e630e8e4a8434bb6e0741a3dc53834.png
We are just generating a random time serie here.
../_images/67921a7d130af47ba7665dfbb02e3969a104aaa1c75b851798629305ca0adff2.png
../_images/0dc03022a70dac282d9ce4ff3207af9477d662f43654df29cf043efa15d0eafc.png